Instructions to use Yonadav/prophets_classifier_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yonadav/prophets_classifier_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yonadav/prophets_classifier_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Yonadav/prophets_classifier_model") model = AutoModelForSequenceClassification.from_pretrained("Yonadav/prophets_classifier_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
pytorch_model.bin
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runs/Apr04_03-23-29_d7fc0d991917/events.out.tfevents.1680578614.d7fc0d991917.130.6
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